Triple
T6153635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiprock |
E137264
|
entity |
| Predicate | distanceToTownOfShiprock |
P69482
|
FINISHED |
| Object | about 10 to 15 kilometers southwest |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 10 to 15 kilometers southwest | Statement: [Shiprock, distanceToTownOfShiprock, about 10 to 15 kilometers southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTownOfShiprock Context triple: [Shiprock, distanceToTownOfShiprock, about 10 to 15 kilometers southwest]
-
A.
distanceFromSocorro
Indicates the spatial distance between an entity and the reference location Socorro.
-
B.
distanceFromAlamogordo
Indicates the spatial distance between a given entity and the location of Alamogordo.
-
C.
distanceToPueblo
Indicates the measured spatial distance between a given entity and the location identified as Pueblo.
-
D.
approximateDistanceFromSupai
Indicates the estimated spatial distance between a given entity or location and Supai.
-
E.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cffc7bc819092633a9e5f1abe2f |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:16 p.m.